RAPID: Measuring the Effects of the COVID-19 Pandemic on Broadband Access Networks to Inform Robust Network Design
RAPID:测量 COVID-19 大流行对宽带接入网络的影响,为稳健的网络设计提供信息
基本信息
- 批准号:2028145
- 负责人:
- 金额:$ 18.74万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-05-01 至 2023-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project is to study the effects of the shifts in Internet traffic resulting from the COVID-19 pandemic on the broadband Internet access infrastructure. Specifically, the project investigates how traffic volumes are changing as a result of changes in daily patterns of life, as well as how those shifts in traffic volume affect network utilization, network performance, and application performance. These questions have become increasingly critical during the COVID-19 pandemic, as large fractions of the population have come to depend on reliable Internet access that performs well for a variety of applications, from video conferencing to remote learning and healthcare. It is important to understand how various policies involving isolation, distancing, and closing of schools, libraries and services are affecting the usage patterns on the Internet, right at the time when the entire society is coming to rely on the network more than ever.This project will involve an unprecedented coordination of data about network traffic load under crisis, through granular measurements, propriety data sharing agreements, as well as extensive baseline data spanning over ten years. This project aims to study two fundamental research questions: (1) What is the effect of the COVID-19 pandemic on network traffic patterns on broadband access networks? and (2) How well do (and will) the infrastructure and applications sustain these changes in traffic patterns? To study these questions, the project plans to take a multi-faceted approach, exploring issues including access performance and interconnect capacity when using critical applications when the network is under strain. This measurement study will shed light on the extent to which the existing Internet infrastructure can sustain exogenous shocks that dramatically shift the location, nature, and scale of network traffic and help identify vulnerabilities. Insights into the state of broadband Internet performance will yield important insights about how broader government policies to close schools and rely on remote e-learning may affect the broader population. Understanding the increased strain on the Internet on other application areas in medicine and public health, including patient compliance and remote caregiving, may lead to improved design of the Internet for such application areas. The project's activities will be posted to https://cdac.uchicago.edu/broadband.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该项目旨在研究COVID-19疫情导致的互联网流量变化对宽带互联网接入基础设施的影响。具体而言,该项目调查了流量如何随着日常生活模式的变化而变化,以及流量的变化如何影响网络利用率,网络性能和应用程序性能。 在COVID-19大流行期间,这些问题变得越来越重要,因为大部分人口开始依赖可靠的互联网接入,这些互联网接入在各种应用中表现良好,从视频会议到远程学习和医疗保健。在整个社会越来越依赖网络的时候,了解各种隔离、隔离和关闭学校、图书馆和服务机构的政策如何影响互联网的使用模式是很重要的。该项目将通过细粒度测量、适当的数据共享协议,以及跨越十年的大量基线数据。 该项目旨在研究两个基础研究问题:(1)COVID-19疫情对宽带接入网络的网络流量模式有何影响?以及(2)基础设施和应用程序在多大程度上(以及将在多大程度上)维持这些流量模式的变化?为了研究这些问题,该项目计划采取多方面的方法,探索在网络处于压力下时使用关键应用程序时的访问性能和互连容量等问题。这项测量研究将揭示现有互联网基础设施能够承受外部冲击的程度,这些冲击会显著改变网络流量的位置、性质和规模,并有助于识别脆弱性。对宽带互联网性能状况的深入了解将产生重要的见解,了解政府关闭学校和依赖远程电子学习的更广泛政策可能如何影响更广泛的人口。了解互联网对医学和公共卫生其他应用领域的压力增加,包括患者依从性和远程诊断,可能会导致为这些应用领域改进互联网的设计。该项目的活动将被张贴到https://cdac.uchicago.edu/broadband.This奖项反映了NSF的法定使命,并已被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估的支持。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Mapping the Digital Divide: Before, During, and After COVID-19
绘制数字鸿沟:COVID-19 之前、期间和之后
- DOI:10.2139/ssrn.3786158
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Bronzino, Francesco;Feamster, Nick;Liu, Shinan;Saxon, James;Schmitt, Paul
- 通讯作者:Schmitt, Paul
2020 Pandemic Network Performance
2020 年疫情期间网络表现
- DOI:
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Feamster, Nick
- 通讯作者:Feamster, Nick
Interconnection Changes in the United States
美国互联变化
- DOI:
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Bronzino, Francesco;Cully, Elizabeth;Feamster, Nick;Liu, Shinan;Livingood, Jason;Schmitt, Paul
- 通讯作者:Schmitt, Paul
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Nicholas Feamster其他文献
Nicholas Feamster的其他文献
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{{ truncateString('Nicholas Feamster', 18)}}的其他基金
Collaborative Research: IMR: MM-1A: Measuring Internet Access Networks Across Space and Time
合作研究:IMR:MM-1A:跨空间和时间测量互联网接入网络
- 批准号:
2319603 - 财政年份:2023
- 资助金额:
$ 18.74万 - 项目类别:
Continuing Grant
SaTC: CORE: Small: Understanding Practical Deployment Considerations for Decentralized, Encrypted DNS
SaTC:核心:小型:了解去中心化加密 DNS 的实际部署注意事项
- 批准号:
2155128 - 财政年份:2022
- 资助金额:
$ 18.74万 - 项目类别:
Standard Grant
IMR: MT: A Community Platform for Controlled Experiments on Internet Access Networks
IMR:MT:互联网接入网络受控实验的社区平台
- 批准号:
2223610 - 财政年份:2022
- 资助金额:
$ 18.74万 - 项目类别:
Standard Grant
Collaborative Research: CISE-ANR: CNS Core: Small: Modeling Modern Network Traffic: From Data Representation to Automated Machine Learning
合作研究:CISE-ANR:CNS 核心:小型:现代网络流量建模:从数据表示到自动化机器学习
- 批准号:
2124393 - 财政年份:2021
- 资助金额:
$ 18.74万 - 项目类别:
Standard Grant
EAGER: SaTC-EDU: Training Mid-Career Security Professionals in Machine Learning and Data-Driven Cybersecurity
EAGER:SaTC-EDU:在机器学习和数据驱动的网络安全方面培训职业中期安全专业人员
- 批准号:
2041970 - 财政年份:2020
- 资助金额:
$ 18.74万 - 项目类别:
Standard Grant
CPS: Medium: Detecting and Controlling Unwanted Data Flows in the Internet of Things
CPS:中:检测和控制物联网中不需要的数据流
- 批准号:
1953740 - 财政年份:2019
- 资助金额:
$ 18.74万 - 项目类别:
Cooperative Agreement
TWC: TTP Option: Large: Collaborative: Towards a Science of Censorship Resistance
TWC:TTP 选项:大:协作:走向审查制度抵抗的科学
- 批准号:
1953513 - 财政年份:2019
- 资助金额:
$ 18.74万 - 项目类别:
Continuing Grant
CPS: Medium: Detecting and Controlling Unwanted Data Flows in the Internet of Things
CPS:中:检测和控制物联网中不需要的数据流
- 批准号:
1739809 - 财政年份:2018
- 资助金额:
$ 18.74万 - 项目类别:
Cooperative Agreement
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